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    Graph Theory and Networks in Biology


    Mason, Oliver and Verwoerd, Mark (2007) Graph Theory and Networks in Biology. IET Systems Biology, 1 (2). pp. 89-119. ISSN 1751-8857

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    Abstract

    In this paper, we present a survey of the use of graph theoretical techniques in Biology. In particular, we discuss recent work on identifying and modelling the structure of bio-molecular networks, as well as the application of centrality measures to interaction networks and research on the hierarchical structure of such networks and network motifs. Work on the link between structural network properties and dynamics is also described, with emphasis on synchronization and disease propagation.

    Item Type: Article
    Additional Information: ©2007 IET. Reprinted from IET Systems Biology. http://scitation.aip.org/dbt/dbt.jsp?KEY=ISBEAT&Volume=1&Issue=2
    Keywords: Biology computing; Complex networks; Diseases; Graph theory; Molecular biophysics; Bio-molecular networks; Centrality measures; Disease propagation; Graph theory; Hierarchical structure; Network motifs; Synchronisation; Hamilton Institute.
    Academic Unit: Faculty of Science and Engineering > Biology
    Faculty of Science and Engineering > Computer Science
    Item ID: 1885
    Identification Number: https://doi.org/10.1049/iet-syb:20060038
    Depositing User: Hamilton Editor
    Date Deposited: 15 Mar 2010 10:42
    Journal or Publication Title: IET Systems Biology
    Publisher: The Institution of Engineering and Technology
    Refereed: Yes
    URI:

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